Professional Summary
Results-driven Data & Analytics leader with 10+ years of progressive experience spanning data science, machine
learning, and enterprise analytics management. Proven record of building and leading high-performing teams,
architecting scalable data platforms, and delivering quantifiable business impact — from 50% YoY cost reductions
to mission-critical ML models used in airline network optimization. Equally fluent in Python-based ML pipelines
and executive-level storytelling. Passionate early adopter of Generative AI with hands-on experience deploying
Microsoft Copilot and Claude Code solutions in production environments.
Core Competencies
Data Strategy & Governance
Predictive Modeling, ML & Deep Learning
Generative AI / LLM Deployment
Demand Forecasting & Time Series Analysis
Statistical Analysis & Hypothesis Testing
Team Leadership & Talent Development
Business Intelligence Platform Architecture
Data Engineering & ETL Pipeline Design
Vendor & Contract Management (RFPs, NDAs, SoWs)
Executive Reporting & KPI Dashboard Design
Professional Experience
Nov 2021 – Present
Remote
Manager, Data & Analytics
Brownells
- Lead a 5-person team (data scientists, engineers, analysts) owning end-to-end data ingestion, cleansing, transformation, and distribution of business-critical reporting pipelines.
- Drove two enterprise BI platform migrations and built automated report generation workflows, reducing year-over-year analytics spend by 50%.
- Identified revenue leakage in the affiliate partnership program; designed and launched a targeted savings initiative that cut unnecessary outbound spend by ~10% per month.
- Established company-wide data governance policies and led full integration of the Azure Business Intelligence stack (Microsoft Fabric, Power BI, Purview).
- Championed GenAI adoption: deployed Microsoft Copilot linked to the company data dictionary and BI suite, materially increasing end-user self-service analytics capability.
- Oversaw all vendor relationships, contract negotiations, RFP approvals, NDAs, and project Statements of Work.
Jul 2019 – Oct 2021
Dallas, TX
Data Scientist
Southwest Airlines
- Embedded in Network Planning; built Python/Teradata/Tableau solutions to query, analyze, and surface KPIs on schedule efficiency and passenger demand to senior leadership.
- Architected a hybrid ML model (neural network + time series + decision tree ensemble) to forecast market-to-market passenger demand 14 months in advance, enabling more profitable schedule construction.
- Led Project Scalpel — a bespoke linear programming optimizer that re-worked flight schedules to comply with aircraft-reduction regulations while keeping the airline fully operational; recognized as mission-critical company tooling.
Feb 2019 – Jul 2019
Dallas, TX
Data Scientist (Independent Contractor)
Various Clients
- Delivered ad-hoc ML and analytics engagements for clients in hospitality, entertainment, and telecommunications on Azure and AWS.
- Built regression and time series models for visitor forecasting and wait-time prediction; supported data exploration and feature engineering for production ML deployments.
Jun 2018 – Feb 2019
Dallas, TX
Data Scientist
Comparex USA
- Full-stack data science contributor on a cloud-monitoring SaaS product: designed ETL pipelines (Azure Databricks / Apache Spark), built Spark MLlib recommender systems, and delivered Power BI Embedded visualizations.
- Worked across the full product lifecycle — development, QA, demo, and production — in a cross-functional agile team.
Jun 2017 – Jun 2018
Plano, TX
Business Analyst
Capital One
- Synthesized risk forecasts and designed performance metrics to mitigate business risk across multiple lines of business; executed hypothesis testing, outlier analysis, and remediation testing using Redshift, Tableau, R, and Python.
Jun 2013 – Sep 2015
Irving, TX
Problem Manager
Citi — Institutional Clients Group
- Managed incident and problem management for trading platforms serving ICG clients across Asia, Europe, and North America; achieved 85% issue remediation within 90 days by end of 2014.
- Led cross-functional response teams, produced cause-and-effect analyses, and published executive post-mortem reviews to drive permanent infrastructure improvements.
Education
M.S. Petroleum Engineering
Texas A&M University — College Station, TX
August 2017 · Business Management Certificate, Mays Business School · GPA 4.0
B.S. Chemistry
Yale University — New Haven, CT
May 2012 · Concentration in Physical Chemistry · GPA 3.25
Technical Skills
Cloud & Platforms
Microsoft Azure
Microsoft Fabric
AWS
GCP
Databricks
Apache Spark
BI & Visualization
Power BI
Tableau
Incorta
Grafana
Matplotlib
Seaborn
Languages & ML
Python
SQL
Spark MLlib
TensorFlow / Keras
Scikit-learn
R
AI Tools
Claude Code
Microsoft Copilot
OpenAI APIs
Certifications
ITIL
Agile / Scrum
